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Data Science - Learning About Data
I have made this list to help me explore and excel in the interesting field of Data Science and Analytics.
This list covers introductory yet comprehensive books on various topics in the field of Data Science including but not limited to: statistics, data analysis, data mining, machine learning, predictive analytics, big data, map reduce, statistical programming using R and Python.
This list covers introductory yet comprehensive books on various topics in the field of Data Science including but not limited to: statistics, data analysis, data mining, machine learning, predictive analytics, big data, map reduce, statistical programming using R and Python.
Score
A book’s total score is based on multiple factors, including the number of people who have voted for it and how highly those voters ranked the book.
| 1 |
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The Signal and the Noise: Why So Many Predictions Fail—But Some Don't
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3.97 avg rating — 52,041 ratings
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| 2 |
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The Elements of Statistical Learning: Data Mining, Inference, and Prediction
by
4.43 avg rating — 1,874 ratings
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| 3 |
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Moneyball
by
4.27 avg rating — 142,292 ratings
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| 4 |
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The Visual Display of Quantitative Information
by
4.39 avg rating — 8,606 ratings
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| 5 |
|
An Introduction to Statistical Learning: with Applications in R
by
4.59 avg rating — 2,309 ratings
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| 6 |
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Doing Data Science: Straight Talk from the Frontline
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3.74 avg rating — 570 ratings
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| 7 |
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Invisible Women: Data Bias in a World Designed for Men
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4.34 avg rating — 160,006 ratings
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| 8 |
|
Super Crunchers: Why Thinking-by-Numbers Is the New Way to Be Smart
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3.72 avg rating — 5,982 ratings
score: 870,
and
9 people voted
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| 9 |
|
Weapons of Math Destruction: How Big Data Increases Inequality and Threatens Democracy
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3.87 avg rating — 29,506 ratings
score: 787,
and
8 people voted
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| 10 |
|
Dataclysm: Who We Are (When We Think No One's Looking)
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3.73 avg rating — 12,410 ratings
score: 778,
and
8 people voted
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| 11 |
|
Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.
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really liked it 4.00 avg rating — 174 ratings
score: 695,
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7 people voted
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| 12 |
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Data Science for Business: What You Need to Know about Data Mining and Data-Analytic Thinking
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4.13 avg rating — 2,605 ratings
score: 675,
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7 people voted
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| 13 |
|
How to Lie with Statistics
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3.84 avg rating — 17,692 ratings
score: 590,
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6 people voted
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| 14 |
|
The Wisdom of Crowds: Why the Many Are Smarter Than the Few and How Collective Wisdom Shapes Business, Economies, Societies and Nations
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3.82 avg rating — 24,658 ratings
score: 576,
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6 people voted
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| 15 |
|
More than a Glitch: Confronting Race, Gender, and Ability Bias in Tech
by
Meredith Broussard (Goodreads Author)
4.15 avg rating — 454 ratings
score: 500,
and
5 people voted
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| 16 |
|
Superforecasting: The Art and Science of Prediction
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4.08 avg rating — 21,797 ratings
score: 492,
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5 people voted
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| 17 |
|
Naked Statistics: Stripping the Dread from the Data
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3.96 avg rating — 14,919 ratings
score: 490,
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5 people voted
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| 18 |
|
The Functional Art: An introduction to information graphics and visualization
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4.19 avg rating — 811 ratings
score: 488,
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5 people voted
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| 19 |
|
Everybody Lies: Big Data, New Data, and What the Internet Can Tell Us About Who We Really Are
by
Seth Stephens-Davidowitz (Goodreads Author)
3.91 avg rating — 42,188 ratings
score: 487,
and
5 people voted
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| 20 |
|
Data Mining Techniques: For Marketing, Sales, and Customer Relationship Management
by
4.06 avg rating — 231 ratings
score: 484,
and
5 people voted
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| 21 |
|
Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die
by
Eric Siegel (Goodreads Author)
3.66 avg rating — 2,105 ratings
score: 483,
and
5 people voted
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| 22 |
|
Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
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3.88 avg rating — 1,181 ratings
score: 464,
and
5 people voted
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| 23 |
|
Bayesian Data Analysis
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4.21 avg rating — 536 ratings
score: 461,
and
5 people voted
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| 24 |
|
Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice, #31)
by
Toby Segaran (Editor)
3.67 avg rating — 258 ratings
score: 458,
and
5 people voted
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| 25 |
|
Quiet: The Power of Introverts in a World That Can't Stop Talking
by
Susan Cain (Goodreads Author)
4.08 avg rating — 468,237 ratings
score: 450,
and
5 people voted
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| 26 |
|
Advanced R (Chapman & Hall/CRC The R Series)
by
Hadley Wickham (Goodreads Author)
4.56 avg rating — 314 ratings
score: 444,
and
5 people voted
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| 27 |
|
Algorithms to Live By: The Computer Science of Human Decisions
by
Brian Christian (Goodreads Author)
4.13 avg rating — 34,332 ratings
score: 387,
and
4 people voted
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| 28 |
|
Data Smart: Using Data Science to Transform Information into Insight
by
4.12 avg rating — 1,014 ratings
score: 380,
and
4 people voted
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| 29 |
|
An Introduction to Applied Multivariate Analysis with R
by
3.93 avg rating — 29 ratings
score: 379,
and
4 people voted
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| 30 |
|
R in Action
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4.20 avg rating — 265 ratings
score: 374,
and
4 people voted
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| 31 |
|
Data Mining with R: Learning with Case Studies (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
by
3.80 avg rating — 87 ratings
score: 369,
and
4 people voted
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| 31 |
|
Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists
by
4.07 avg rating — 312 ratings
score: 369,
and
4 people voted
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| 33 |
|
Multivariate Data Analysis
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4.10 avg rating — 178 ratings
score: 367,
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4 people voted
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| 34 |
|
Competing on Analytics
by
3.69 avg rating — 1,596 ratings
score: 365,
and
4 people voted
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| 35 |
|
The R Book
by
4.13 avg rating — 137 ratings
score: 342,
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4 people voted
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| 36 |
|
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
by
4.39 avg rating — 23 ratings
score: 300,
and
3 people voted
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| 37 |
|
R Programming for Data Science
by
3.61 avg rating — 170 ratings
score: 296,
and
3 people voted
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| 38 |
|
Introduction to Data Mining
by
3.97 avg rating — 369 ratings
score: 294,
and
3 people voted
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| 39 |
|
R for Data Science: Import, Tidy, Transform, Visualize, and Model Data
by
Hadley Wickham (Goodreads Author)
4.54 avg rating — 1,199 ratings
score: 288,
and
3 people voted
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| 40 |
|
Statistics in Plain English
by
3.86 avg rating — 359 ratings
score: 281,
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3 people voted
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| 41 |
|
Machine Learning for Hackers
by
3.73 avg rating — 407 ratings
score: 280,
and
3 people voted
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| 42 |
|
The Art of Data Science: A Guide for Anyone Who Works with Data
by
3.71 avg rating — 296 ratings
score: 279,
and
3 people voted
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| 43 |
|
Mining the Social Web: Analyzing Data from Facebook, Twitter, LinkedIn, and Other Social Media Sites
by
3.73 avg rating — 373 ratings
score: 275,
and
3 people voted
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| 44 |
|
The Misbehavior of Markets: A Fractal View of Financial Turbulence
by
4.09 avg rating — 6,027 ratings
score: 259,
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3 people voted
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| 45 |
|
Machine Learning: A Probabilistic Perspective
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4.34 avg rating — 521 ratings
score: 199,
and
2 people voted
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| 46 |
|
The Ethical Algorithm: The Science of Socially Aware Algorithm Design
by
4.11 avg rating — 656 ratings
score: 198,
and
2 people voted
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| 46 |
|
The Hundred-Page Machine Learning Book
by
Andriy Burkov (Goodreads Author)
4.25 avg rating — 1,393 ratings
score: 198,
and
2 people voted
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| 46 |
|
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
by
4.28 avg rating — 32 ratings
score: 198,
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2 people voted
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| 49 |
|
Web Analytics 2.0: The Art of Online Accountability and Science of Customer Centricity
by
4.13 avg rating — 1,523 ratings
score: 196,
and
2 people voted
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| 49 |
|
Big Data: A Revolution That Will Transform How We Live, Work, and Think
by
3.69 avg rating — 8,663 ratings
score: 196,
and
2 people voted
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| 49 |
|
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
by
4.80 avg rating — 20 ratings
score: 196,
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2 people voted
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| 52 |
|
Machine Learning in Action
by
3.78 avg rating — 240 ratings
score: 189,
and
2 people voted
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| 53 |
|
Learning Spark: Lightning-Fast Big Data Analysis
by
Holden Karau (Goodreads Author)
3.91 avg rating — 566 ratings
score: 188,
and
2 people voted
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| 54 |
|
Python Data Science Cookbook
by
3.71 avg rating — 14 ratings
score: 187,
and
2 people voted
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| 55 |
|
The Basics of Data Literacy: Helping Your Students (And You!) Make Sense of Data - PB343X
by
4.39 avg rating — 18 ratings
score: 183,
and
2 people voted
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| 56 |
|
Foundations of Applied Statistical Methods
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4.50 avg rating — 2 ratings
score: 181,
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2 people voted
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| 57 |
|
Hadoop in Action
by
3.66 avg rating — 115 ratings
score: 175,
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2 people voted
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| 58 |
|
Analytics at Work: Smarter Decisions, Better Results
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3.53 avg rating — 369 ratings
score: 172,
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2 people voted
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| 59 |
|
Beautiful Visualization: Looking at Data through the Eyes of Experts
by
3.82 avg rating — 241 ratings
score: 169,
and
2 people voted
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| 60 |
|
Data Analysis Using Regression and Multilevel/Hierarchical Models
by
4.36 avg rating — 290 ratings
score: 164,
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2 people voted
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| 61 |
|
What is a P-Value Anyway? 34 Stories to Help You Actually Understand Statistics
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3.92 avg rating — 235 ratings
score: 162,
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2 people voted
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| 62 |
|
Guesstimation: Solving the World's Problems on the Back of a Cocktail Napkin
by
3.74 avg rating — 424 ratings
score: 160,
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2 people voted
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| 63 |
|
Introduction to Data Mining (2nd Edition) (What's New in Computer Science)
by
3.97 avg rating — 369 ratings
score: 100,
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1 person voted
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| 63 |
|
Humanizing Big Data: Marketing at the Meeting of Data, Social Science & Consumer Insight
by
Colin Strong (Goodreads Author)
3.84 avg rating — 44 ratings
score: 100,
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1 person voted
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| 63 |
|
Proactive Data Mining with Decision Trees
by
3.40 avg rating — 5 ratings
score: 100,
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1 person voted
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| 63 |
|
Business Analytics for Managers
by
3.86 avg rating — 21 ratings
score: 100,
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1 person voted
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| 63 |
|
Mathematica Data Analysis
by
Sergiy Suchok (Goodreads Author)
4.55 avg rating — 11 ratings
score: 100,
and
1 person voted
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| 63 |
|
Macroanalysis: Digital Methods and Literary History
by
Matthew L. Jockers (Goodreads Author)
3.95 avg rating — 110 ratings
score: 100,
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1 person voted
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| 63 |
|
The Lady Tasting Tea: How Statistics Revolutionized Science in the Twentieth Century
by
3.92 avg rating — 1,990 ratings
score: 100,
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1 person voted
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| 63 |
|
Think Like a Data Scientist: Tackle the data science process step-by-step
by
Brian Godsey (Goodreads Author)
3.79 avg rating — 94 ratings
score: 100,
and
1 person voted
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| 63 |
|
Learn Python Programming the Easy and Fun Way
by
Elaiya Iswera Lallan (Goodreads Author)
3.33 avg rating — 3 ratings
score: 100,
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1 person voted
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| 63 |
|
The Math of Neural Networks
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4.17 avg rating — 110 ratings
score: 100,
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1 person voted
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| 63 |
|
Compassionate Artificial Superintelligence AI 5.0
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4.73 avg rating — 51 ratings
score: 100,
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1 person voted
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| 63 |
|
This Is Not an Atlas: A Global Collection of Counter-Cartographies
by
Kollektiv Orangotango+ (Editor)
4.33 avg rating — 12 ratings
score: 100,
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1 person voted
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| 63 |
|
A Human's Guide to Machine Intelligence: How Algorithms Are Shaping Our Lives and How We Can Stay in Control
by
3.85 avg rating — 445 ratings
score: 100,
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1 person voted
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| 63 |
|
All of Statistics: A Concise Course in Statistical Inference
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4.25 avg rating — 389 ratings
score: 100,
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1 person voted
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| 63 |
|
Say It With Charts: The Executive's Guide to Visual Communication
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3.83 avg rating — 485 ratings
score: 100,
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1 person voted
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| 63 |
|
Artificial Intelligence: A 60 Minute Guide
by
Steven Finlay (Goodreads Author)
4.23 avg rating — 22 ratings
score: 100,
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1 person voted
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| 63 |
|
The Essence of Artificial Intelligence: The Essence of Artificial Intelligence
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3.47 avg rating — 51 ratings
score: 100,
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1 person voted
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| 63 |
|
Big Data in Omics and Imaging: Association Analysis
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really liked it 4.00 avg rating — 2 ratings
score: 100,
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1 person voted
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| 63 |
|
R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics
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4.25 avg rating — 16 ratings
score: 100,
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1 person voted
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| 63 |
|
Taxonomy of the most commonly used Machine Learning Algorithms
by
Murat Durmus (Goodreads Author)
4.33 avg rating — 6 ratings
score: 100,
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1 person voted
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| 63 |
|
The Data Garden And Other Data Allegories : The World’s First Book of Data Allegories: 6 Lessons in Effective Data Management
by
Paul Daniel Jones (Goodreads Author)
3.83 avg rating — 6 ratings
score: 100,
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1 person voted
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| 63 |
|
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
by
4.86 avg rating — 7 ratings
score: 100,
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1 person voted
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| 85 |
|
Multiple Correspondence Analysis (Quantitative Applications in the Social Sciences Book 163)
by
really liked it 4.00 avg rating — 4 ratings
score: 99,
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1 person voted
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| 85 |
|
Learning JavaScript
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3.32 avg rating — 142 ratings
score: 99,
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1 person voted
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| 85 |
|
Bayes' Theorem Examples: A Visual Introduction For Beginners
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3.90 avg rating — 817 ratings
score: 99,
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1 person voted
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| 85 |
|
Hello World: Being Human in the Age of Algorithms
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4.11 avg rating — 11,566 ratings
score: 99,
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1 person voted
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| 85 |
|
Python for Data Analysis
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4.17 avg rating — 2,420 ratings
score: 99,
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1 person voted
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| 85 |
|
Big Data in Omics and Imaging: Integrated Analysis and Causal Inference (Chapman & Hall/CRC Computational Biology Series)
by
liked it 3.00 avg rating — 3 ratings
score: 99,
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1 person voted
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| 85 |
|
Understanding Artificial Intelligence: A Concise Introduction
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4.33 avg rating — 3 ratings
score: 99,
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1 person voted
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| 85 |
|
Cognitive Biases: A Brief Overview of Over 160 Cognitive Biases + Bonus Chapter: Algorithmic Bias
by
Murat Durmus (Goodreads Author)
4.33 avg rating — 6 ratings
score: 99,
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1 person voted
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| 93 |
|
JavaScript: The Good Parts
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4.23 avg rating — 8,660 ratings
score: 98,
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1 person voted
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| 93 |
|
Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees
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3.93 avg rating — 147 ratings
score: 98,
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1 person voted
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| 93 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
Steven Finlay (Goodreads Author)
4.12 avg rating — 203 ratings
score: 98,
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1 person voted
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| 96 |
|
Truthful Art, The: Data, Charts, and Maps for Communication
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4.26 avg rating — 413 ratings
score: 97,
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1 person voted
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| 96 |
|
C Programming for the Absolute Beginner
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3.68 avg rating — 22 ratings
score: 97,
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1 person voted
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| 96 |
|
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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4.55 avg rating — 2,742 ratings
score: 97,
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1 person voted
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| 99 |
|
JavaScript: The Definitive Guide
by
4.07 avg rating — 3,382 ratings
score: 96,
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Working with Coders: A Guide to Software Development for the Perplexed Non-Techie
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133 books ·
121 voters ·
list created February 28th, 2013
by Brijesh Bolar (votes) .
Tags:
big-data, data-analytics, data-mining, data-science, hadoop, machine-learning, python, r, statistics
Comments Showing 1-5 of 5 (5 new)
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by
Adrian
(new)
Jan 27, 2017 01:43AM
Thanks for the list!
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I have no training in the field, but am just a curious person who wants to avoid the overly simplistic bestsellers. Does anyone have any *very best* recommendations for me? Also, I'm thinking I should probably choose among the newest books, do you agree?
That makes sense. Ok, so:How about a 'very good introduction to some of the concepts' - ?
Cheryl wrote: "That makes sense. Ok, so:How about a 'very good introduction to some of the concepts' - ?"
'Dataclysm' is the place to start! It is really interesting and gives insight into a fantastic data science case study. I think 'The Functional Art' is kind of industry specific, but also does a great job at explaining how and why we do this.
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